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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 14281
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    Explanations

    specific annotation symbols

    oai_token-act-pair · gpt-3.5-turbo

    phrases or concepts related to significant actions or expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    anwhile
    -0.77
     scattering
    -0.64
     rotating
    -0.64
     segreg
    -0.62
     Manhattan
    -0.59
     psychiat
    -0.57
     Squadron
    -0.57
     obser
    -0.56
     shroud
    -0.55
     Glou
    -0.55
    POSITIVE LOGITS
    ¬
    1.05
    º
    1.02
    ľ
    0.95
    Ń
    0.91
    £
    0.91
    ¹
    0.89
    ½
    0.87
    į
    0.87
    ¦
    0.86
    ĭ
    0.85
    Activations Density 0.264%

    No Known Activations